部署与运维

ai-readiness

anthropics/fina…services

Scan the portfolio for the highest-leverage AI opportunities and rank where to deploy operating-partner time. Ingests quarterly updates and financials across multiple portfolio companies, identifies quick wins at each, and stacks them into a single ranked action list. Use during quarterly portfolio reviews, annual planning, or when deciding which companies get AI investment first. Triggers on "AI readiness", "AI opportunity scan", "where should we deploy AI", "AI across the portfolio", "AI quick wins", or "which portcos are ready for AI".

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安装命令

npx skills add https://github.com/anthropics/financial-services --skill ai-readiness

SKILL.md

Portfolio AI Readiness

Workflow

Step 1: Connect to Portfolio Data

First, ask the user where the portfolio materials live. Don't assume — offer the options:

  • MCP servers — data room, SharePoint, Google Drive, or a portfolio-ops database if one is connected
  • Local files — a folder path on disk with quarterly decks, financials, board packs
  • File uploads — drag PDFs, PowerPoint, or Excel directly into the conversation

Once connected, pull quarterly updates, board decks, and financials for the portfolio (or a subset). For each company, extract: sector, revenue, headcount by function, tech stack mentioned, and any AI/automation initiatives already in flight.

If the user provides a single company, still run the scan but skip the cross-portfolio ranking.

Ask up front if not obvious from materials:

  • Hold period remaining per company (AI payback matters less 12 months from exit)
  • Whether any portco has already deployed something that worked